Three-phase Induction Motor Operation Trend Prediction Using Support Vector Regression for Condition-based Maintenance

Abstract

Due to the broad employment and large amount of electricity consumption of induction motor, their efficient operation has been a focus for engineering research. The paper proposes a new integrated approach performing the motor condition prediction for the maintenance of low cost and high quality. Studies were done on nonlinear data analysis techniques, including particle filters for state estimates and support vector regression for condition prediction. Laboratory studies support the condition-based maintenance for motor systems